Manager, Analytics Engineer

RBC; Mississauga; On-site; CAD 67,000 - 110,000; Full time

Job summary

RBC is expanding its analytics capabilities and seeking a data-focused professional to design and deliver robust analytics products. You will work with data engineers, analysts, data scientists and product teams to translate requirements into scalable data solutions for informed decisions.

You’ll drive semantic models, data quality and governance, while enabling self-service analytics and collaboration across business domains. This role promises impactful work in a dynamic, matrixed environment.

Qualifications

• Proven ability to translate requirements into analytics solutions.
• Experience with semantic data products and end-to-end analytics.
• Ability to collaborate across data engineering, analytics, data science and product teams.
• Strong communication of constraints and possibilities to technical and business audiences.

Responsibilities

• Design and build analytics solutions: translate requirements into end-to-end analytics solutions, data models, transformations, semantic layers, and consumption patterns.
• Solve technical and analytical problems by navigating complex data scenarios and making trade-offs.
• Enable self-service analytics by delivering semantic models and data contracts that empower analysts.
• Collaborate with data engineers, governance experts, analysts, data scientists and product teams to ensure data ownership and accountable decision making.
• Support standards for dimensional design, metric governance, and data quality to drive consistent analytics.

Skills

Analytical Thinking

Data Analysis

Data Visualization

Dashboard Development

Tableau

Data Insights

Communication

Critical Thinking

Teamwork

Knowledge Organization

Long Term Planning

Business Decisions

Tools

Tableau

Job description

What is the opportunity?

RBC is building modern analytics capabilities centered on cloud data platforms, semantic layers, and self-service analytics. Our goal: create data products that serve distinct business domains across the organization.

Job Description

RBC is building modern analytics capabilities centered on cloud data platforms, semantic layers, and self-service analytics. Our goal: create data products that serve distinct business domains across the organization.

You’ll work across data engineering, analytics, data science, product teams and internal business users, translating requirements into robust analytics solutions. You’re the technical problem-solver who turns product direction into working data products that drive decisions. You are an individual contributor working as part of a small team of business insight professionals in a matrixed agile framework.

The upside: Ship solutions that matter. Collaborate with sharp people. Solve complex technical and analytical problems. If you’re passionate about building things that work and create real impact, this is the role for you.

What will you do?

• Design and build analytics solutions: Uncover product requirements and translate them into end-to-end analytics solutions, data models, transformations, semantic layers, and consumption patterns. Drive quality and maintainability.


• Solve technical and analytical problems: Navigate complex data scenarios. Find elegant solutions to tricky modeling challenges. Make trade-offs and move forward.


• Enable self-service analytics: Support semantic model delivery and data contracts that let analysts independently use trusted data. Reduce friction and eliminate bottlenecks.


• Collaborate effectively: Work with data engineers, governance experts, analysts, data scientists, product teams and internal business users. Understand their needs. Communicate constraints and possibilities clearly. Establish ownership and accountability of data to reduce ambiguity and clarify decision making.


• Support technical standards: Support semantic model building, documentation and consumption. Lead best practices for dimensional design, metric governance, and data quality. Your work drives how the organization thinks about metrics and analytics. Mentor on best practices, advocate for consistency and quality.

What do you need to succeed?

Must-Have:

• Semantic layer expertise is non-negotiable: 2+ years with analytics platforms and hands-on experience in semantic layers (dbt, Cube.js, Looker Semantic Layer, or similar). You have proven experience in building solutions that drive decisions. You understand dimensional data modeling, data contracts and how to make metrics consistent and discoverable. You know what works at scale, what creates debt


• Hands-on modern data stack experience: You’ve worked with dbt (or another transformation tool), cloud data warehouses (Snowflake, Databricks, BigQuery), and semantic layer concepts (dbt, Cube.js, Looker, etc.). You understand how these pieces fit together.


• Outcome-focused problem solver: You think about impact, not output. You’re comfortable with ambiguity and make sound decisions with incomplete information. You iterate and move forward. You care about code quality, maintainability, and how others will use what you build.


• Clear communicator: You explain trade-offs honestly. You write documentation people want to read. You speak across technical and business audiences without jargon.


• Meticulous about craft: You care about code quality, maintainability, and how others will use what you build.

Nice to have:

• Financial services or regulated industry experience


• Hands-on experience with Gen AI for code generation, documentation, and problem-solving


• Experience evolving analytics infrastructure or modernizing BI platforms


• Strong foundation in data modeling and dimensional design


• Track record collaborating across business domains

What’s In For You?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.


• Leaders who support your development through coaching and managing opportunities


• Ability to make a difference and lasting impact


• Work in a dynamic, collaborative, progressive, and high-performing team


• Opportunities to take on progressively greater accountabilities.


• Access to a variety of job opportunities across business and geographies.

Job Skills

Analytical Thinking, Business Decisions, Communication, Critical Thinking, Dashboard Development, Dashboard Reporting, Data Analysis, Data Insights, Data Visualization, Knowledge Organization, Long Term Planning, Tableau (Software), Teamwork

Additional Job Details

Address

MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA

City

Mississauga

Country

Canada

Work hours/week

37.5

Employment Type

Full time

Platform

INSURANCE

Job Type

Regular

Pay Type

Salaried

Posted Date

2026-08-12

Application Deadline

2026-09-30

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Pay Range

The expected pay range for this position is:

$67,000.00 - $110,000.00

The pay range provided is for the primary work location referenced in the Additional Job Details section of this job posting. Pay ranges may differ based on location. If the posting lists multiple job locations, a recruiter can confirm availability of the role and the relevant pay rage for the additional locations listed. RBC supports pay transparency and we strive to ensure all pay ranges are competitive, fair, and equitable.

You have the potential to earn RBC’s discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided that business meets its performance targets and you meet your individual goals.

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.